Data clustering algorithm based on agglomerative hierarchical clustering (AHC) which uses minimum volume increase (MVI) and minimum direction change (MDC) clustering criteria.

An R Package for Bayesian Nonparametric Clustering. We plan to implement several models.

A Java program for clustering data with the k-means algorithm.

A data clustering package based on admixture ratios (Q matrix) of population structure analysis.

An implementation of OPTICS Algorithm

A simplified algorithm to cluster mixed-type data(numerical and categorical).

Machine learning algorithms to perform data clustering

Implementation of k-means algorithm for data clustering

Recursive Multi-view Integration for Subtypes Identification

Quizzes & Assignment Solutions for Machine Learning Specialization on Coursera. Also included a few resources on side that I found helpful.

A python implementation of the PSR-MST Data Clustering.